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harishreem/README.md

Hi there, I'm Harishree Mahajan 👋

I am a Master of Science in Computer Science student at the University of Birmingham, transitioning into AI Engineering. My unique background bridges the gap between deep learning, full-stack software development, and structural bioinformatics/bioengineering. I focus on engineering robust pipelines, optimizing computer vision models, and building scalable data flows for high-stakes applications.

🚀 Technical Focus & Expertise

  • Artificial Intelligence & CV: Deep Learning pipelines, Object Detection (YOLOv3), Spatial Logic Analytics, and CNNs.
  • Signal Processing & Optimization: Production-grade Digital Signal Processing (DSP) pipelines and real-time machine learning (LightGBM).
  • Software Engineering: Modular Full-Stack development (React, Node.js), robust state management, and API design.
  • Data Science & Bioinformatics: Advanced statistical analysis, Python data stacks (NumPy, SciPy, Scikit-Learn), and computational structural biology tools (AlphaFold, HDOCK).

📚 Current Education & Journey

  • M.Sc. in Computer Science | University of Birmingham (Jan 2026 – Jan 2027)
    • Core focus: AI & Machine Learning, Data Structures, Algorithms, Databases, and Software Systems.
  • PG Diploma in Bioinformatics & Synthetic Biology | Chanakya University (CGPA: 9.81)
  • B.Tech in Bioengineering | Chanakya University (CGPA: 8.58)

🛠️ Tech Stack & Toolbox

Category Technologies & Tools
Languages Python (Advanced), Java, JavaScript (ES6+), R, Bash/Shell, SQL
AI & Data Science TensorFlow, PyTorch, Scikit-Learn, OpenCV, YOLO, LightGBM, SciPy, NumPy
Web Development React.js, Node.js, Bootstrap, MongoDB, Git / GitLab
Bioinformatics / Scientific AlphaFold, SWISS-MODEL, HDOCK, PDBEPISA, BLAST, Spectroscopy Analysis (XRD, FTIR, Raman)

📈 Recent Highlights

  • Clinical AI Hackathon (UoB): Engineered a 4-layer denoising DSP pipeline and LightGBM model, achieving a 7.1% Mean Absolute Error in non-invasive Cardiac Output detection.
  • Computer Vision Integration: Built real-time crowd safety analytics leveraging YOLOv3 and centroid-based Euclidean distance tracking.
  • Automation Research: Developed vision-based algorithms to streamline structural materials characterization and spectroscopy analysis at IIT Indore.

📬 Connect with Me

Popular repositories Loading

  1. mlproject mlproject Public

  2. cardiac-output-dsp-pipeline cardiac-output-dsp-pipeline Public

    A production-grade DSP and machine learning pipeline that converts raw Doppler audio into clinical Cardiac Output measurements using LightGBM and automated peak detection.

  3. huntingtons-disease-protein-modeling huntingtons-disease-protein-modeling Public

    Structural bioinformatics pipeline investigating Huntington's disease mechanisms by modeling and docking mutant HTT-HAP40 protein complexes.

  4. diabetes-risk-neural-network diabetes-risk-neural-network Public

    A diagnostic neural network built in Python to classify diabetic risk based on clinical parameters, optimized using Batch Normalization and ReLU, and serialized for production use.

  5. yolov3-spatial-monitoring yolov3-spatial-monitoring Public

    Real-time social distancing and spatial monitoring system utilizing YOLOv3 object detection, Euclidean distance logic, and Non-Maximum Suppression (NMS).

  6. algal-growth-spectroscopy-automation algal-growth-spectroscopy-automation Public

    An AI-driven automation framework utilizing Computer Vision to interpret structural spectroscopy data and evaluate biochemical toxicity effects on microalgal cell growth.